{"id":"https://openalex.org/W3188323772","doi":"https://doi.org/10.1109/bhi50953.2021.9508543","title":"Learning a reconnecting regularization term for blood vessel variational segmentation","display_name":"Learning a reconnecting regularization term for blood vessel variational segmentation","publication_year":2021,"publication_date":"2021-07-27","ids":{"openalex":"https://openalex.org/W3188323772","doi":"https://doi.org/10.1109/bhi50953.2021.9508543","mag":"3188323772"},"language":"en","primary_location":{"id":"doi:10.1109/bhi50953.2021.9508543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi50953.2021.9508543","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063321588","display_name":"Sophie Carneiro Esteves","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Lyon 1 Universit\u00e9","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I169645620","display_name":"Institut Pascal","ror":"https://ror.org/03vgfxd91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I198244214","https://openalex.org/I4210095849"]},{"id":"https://openalex.org/I4210103002","display_name":"University of Clermont Auvergne","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210103002"]},{"id":"https://openalex.org/I4210123221","display_name":"Sigma Clermont","ror":"https://ror.org/02n5evf44","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214","https://openalex.org/I4210123221","https://openalex.org/I4387154249"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sophie Carneiro Esteves","raw_affiliation_strings":["CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France","Universit\u00e9 Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, Univ Lyon, INSA-Lyon, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I4210103002","https://openalex.org/I4210123221"]},{"raw_affiliation_string":"Universit\u00e9 Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, Univ Lyon, INSA-Lyon, Lyon, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I154526488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070742303","display_name":"Antoine Vacavant","orcid":"https://orcid.org/0000-0001-9616-3282"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I169645620","display_name":"Institut Pascal","ror":"https://ror.org/03vgfxd91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I198244214","https://openalex.org/I4210095849"]},{"id":"https://openalex.org/I4210103002","display_name":"University of Clermont Auvergne","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210103002"]},{"id":"https://openalex.org/I4210123221","display_name":"Sigma Clermont","ror":"https://ror.org/02n5evf44","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214","https://openalex.org/I4210123221","https://openalex.org/I4387154249"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antoine Vacavant","raw_affiliation_strings":["CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, SIGMA Clermont, Institut Pascal, Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I4210103002","https://openalex.org/I4210123221"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006503311","display_name":"Odyss\u00e9e Merveille","orcid":"https://orcid.org/0000-0002-9918-3761"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Lyon 1 Universit\u00e9","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Odyssee Merveille","raw_affiliation_strings":["Universit\u00e9 Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, Univ Lyon, INSA-Lyon, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, Univ Lyon, INSA-Lyon, Lyon, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I154526488"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5963,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62749163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10250","display_name":"Glaucoma and retinal disorders","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7419067025184631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.715553879737854},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7153123617172241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6709545254707336},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5595079660415649},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5245528221130371},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5161455869674683},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4914432764053345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4389409124851227},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41308194398880005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36020132899284363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35851338505744934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10454246401786804}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7419067025184631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.715553879737854},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7153123617172241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6709545254707336},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5595079660415649},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5245528221130371},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5161455869674683},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4914432764053345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4389409124851227},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41308194398880005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36020132899284363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35851338505744934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10454246401786804},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi50953.2021.9508543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi50953.2021.9508543","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1922442141","https://openalex.org/W2021347102","https://openalex.org/W2038495454","https://openalex.org/W2145305441","https://openalex.org/W2150769593","https://openalex.org/W2432555109","https://openalex.org/W2791117644","https://openalex.org/W2912684384","https://openalex.org/W2916842710","https://openalex.org/W2949128855","https://openalex.org/W2981551308","https://openalex.org/W3030204642","https://openalex.org/W3043832855","https://openalex.org/W3102025760","https://openalex.org/W3112980510","https://openalex.org/W3118064383","https://openalex.org/W3155737436","https://openalex.org/W6758851702"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4375867731","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,19],"segmentation":[1,82,112,121],"of":[2,21,27,64,96,100,165,181,191],"blood":[3,35],"vessels":[4],"in":[5,31,127,172],"medical":[6],"images":[7,139],"is":[8,26,67],"a":[9,22,56,88],"challenging":[10,69],"task":[11],"as":[12],"they":[13,54],"are":[14],"thin,":[15],"connected":[16,23],"and":[17,41,114,149],"tortuous.":[18],"detection":[20],"vascular":[24,38,73,97,125,166],"network":[25,39],"the":[28,81,101,146,153,163,173,178],"utmost":[29],"importance":[30],"clinical":[32],"applications":[33],"(e.g.":[34],"flow":[36],"simulations,":[37],"modeling":[40],"analysis).":[42],"Deep":[43],"learning":[44,80,111],"approaches":[45],"have":[46],"been":[47],"developed":[48],"to":[49,70,86,123,188],"tackle":[50],"this":[51,76,105,135],"issue,":[52],"but":[53],"require":[55],"large":[57],"annotated":[58],"dataset":[59,148],"for":[60,72],"each":[61],"new":[62],"application":[63],"interest,":[65],"which":[66],"very":[68],"build":[71],"networks.":[74],"In":[75],"work,":[77],"rather":[78],"than":[79,109,168],"task,":[83],"we":[84,176],"propose":[85],"learn":[87],"reconnecting":[89,143,183],"regularization":[90,170],"term":[91,106,144,184],"that":[92,158],"learns":[93],"geometric":[94],"properties":[95],"networks":[98,126,167],"independent":[99],"image":[102],"modality.":[103],"Therefore,":[104],"generalizes":[107],"better":[108,161],"deep":[110],"models,":[113],"can":[115],"be":[116],"easily":[117],"plugged":[118],"into":[119],"variational":[120],"frameworks":[122],"detect":[124],"different":[128],"datasets":[129],"without":[130],"requiring":[131],"annotations.":[132],"We":[133,156],"apply":[134],"approach":[136,160],"on":[137,145,152],"retinal":[138],"by":[140,185],"training":[141],"our":[142,159,182],"STARE":[147],"applying":[150,186],"it":[151,187],"DRIVE":[154],"dataset.":[155],"show":[157],"preserves":[162],"connectivity":[164],"classic":[169],"terms":[171],"literature.":[174],"Finally,":[175],"illustrate":[177],"generalization":[179],"power":[180],"other":[189],"types":[190],"data.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}